Python Developer Jobs in UAE

<p>Key Roles and Responsibilities</p><ol><li><p><strong>Network Security Design and Implementation</strong></p><ul><li><p>Design secure network architectures.</p></li><li><p>Configure firewalls, VPNs, routers, and switches.</p></li><li><p>Implement network segmentation and access controls.</p></li></ul></li><li><p><strong>Firewall and Security Device Management</strong></p><ul><li><p>Install, configure, and maintain firewalls.</p></li><li><p>Manage Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS).</p></li><li><p>Configure Web Application Firewalls (WAFs).</p></li></ul></li><li><p><strong>Network Monitoring</strong></p><ul><li><p>Monitor network traffic for suspicious activities.</p></li><li><p>Analyze security logs using SIEM tools.</p></li><li><p>Detect and respond to security incidents.</p></li></ul></li><li><p><strong>Vulnerability Assessment and Risk Management</strong></p><ul><li><p>Perform vulnerability scans.</p></li><li><p>Identify and remediate security weaknesses.</p></li><li><p>Conduct risk assessments and recommend security improvements.</p></li></ul></li><li><p><strong>Incident Response</strong></p><ul><li><p>Investigate network security incidents.</p></li><li><p>Contain, eradicate, and recover from cyberattacks.</p></li><li><p>Conduct root cause analysis and prepare incident reports.</p></li></ul></li><li><p><strong>Access Control Management</strong></p><ul><li><p>Implement Identity and Access Management (IAM).</p></li><li><p>Configure authentication protocols such as MFA, RADIUS, and TACACS+.</p></li><li><p>Enforce least-privilege access policies.</p></li></ul></li><li><p><strong>Security Policy Implementation</strong></p><ul><li><p>Develop and enforce network security policies.</p></li><li><p>Ensure compliance with organizational security standards.</p></li><li><p>Document security procedures and configurations.</p></li></ul></li><li><p><strong>Patch and Configuration Management</strong></p><ul><li><p>Apply firmware and software updates.</p></li><li><p>Harden network devices following security best practices.</p></li><li><p>Maintain secure configurations.</p></li></ul></li><li><p><strong>Disaster Recovery and Business Continuity</strong></p><ul><li><p>Develop backup and recovery plans.</p></li><li><p>Ensure network redundancy and high availability.</p></li><li><p>Participate in disaster recovery testing.</p></li></ul></li><li><p><strong>Compliance and Auditing</strong></p><ul><li><p>Support compliance with standards such as ISO 27001, PCI DSS, HIPAA, or NIST.</p></li><li><p>Prepare documentation for security audits.</p></li><li><p>Address audit findings.</p></li></ul></li><li><p><strong>Collaboration</strong></p><ul><li><p>Work with system administrators, cloud engineers, SOC analysts, and IT teams.</p></li><li><p>Support security awareness initiatives.</p></li><li><p>Assist in implementing secure network changes.</p></li></ul></li></ol><p>Common Tools Used</p><ul><li><p>Firewalls: Palo Alto, Fortinet, Cisco ASA/Firepower, Check Point</p></li><li><p>SIEM: Splunk, Microsoft Sentinel, QRadar</p></li><li><p>IDS/IPS: Snort, Suricata</p></li><li><p>VPN: Cisco AnyConnect, OpenVPN</p></li><li><p>Network Monitoring: Wireshark, SolarWinds, PRTG, Nagios</p></li><li><p>Vulnerability Scanners: Nessus, Qualys, OpenVAS</p></li><li><p>Cloud Security: AWS Security Groups, Azure NSGs, Google Cloud Firewall</p></li></ul><p>Essential Skills</p><ul><li><p>TCP/IP, DNS, DHCP, VLANs, Routing, Switching</p></li><li><p>Network protocols and packet analysis</p></li><li><p>Firewall administration</p></li><li><p>VPN technologies (IPSec, SSL VPN)</p></li><li><p>Network Access Control (NAC)</p></li><li><p>SIEM and log analysis</p></li><li><p>Linux and Windows administration</p></li><li><p>Scripting (Python, Bash, PowerShell)</p></li><li><p>Cloud networking and security</p></li><li><p>Incident response and troubleshooting</p></li></ul><p>Typical Daily Activities</p><ul><li><p>Monitor network security alerts.</p></li><li><p>Review firewall and VPN logs.</p></li><li><p>Respond to security incidents.</p></li><li><p>Implement firewall rule changes.</p></li><li><p>Conduct vulnerability scans.</p></li><li><p>Patch network devices.</p></li><li><p>Analyze suspicious network traffic.</p></li><li><p>Document network changes and security incidents.</p></li><li><p>Collaborate with IT and security teams to strengthen network defenses.</p></li></ul><p>Certifications That Add Value</p><ul><li><p>Cisco CCNA Security / CCNP Security</p></li><li><p>CompTIA Security+</p></li><li><p>CompTIA CySA+</p></li><li><p>Certified Information Systems Security Professional (CISSP)</p></li><li><p>Certified Ethical Hacker (CEH)</p></li><li><p>Palo Alto Networks Certified Network Security Engineer (PCNSE)</p></li><li><p>Fortinet NSE Certification</p></li><li><p>GIAC Certified Incident Handler (GCIH)</p></li></ul><p>A Network Security Engineer plays a critical role in protecting enterprise networks from cyber threats while ensuring secure, reliable, and compliant network operations.</p><p><strong>Desired Candidate Profile</strong></p><p>Cisco CCNA Security / CCNP Security</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Dell Deployment Consultant (Russian Speaker) to support the deployment, implementation, and integration of Dell Technologies solutions for enterprise customers.<br> The ideal candidate will work closely with customers, project managers, and technical teams to plan, install, configure, and deploy Dell infrastructure solutions while ensuring successful project delivery and high customer satisfaction.<br> The role requires fluency in Russian and English , strong technical deployment experience, and the ability to manage customer engagements throughout the deployment lifecycle.<br> Key Responsibilities Lead the deployment and implementation of Dell Technologies solutions for enterprise customers.<br> Install, configure, and deploy Dell infrastructure products, including servers, storage, virtualization, and related solutions.<br> Gather customer requirements and translate them into deployment plans.<br> Perform solution installation, configuration, testing, validation, and go-live activities.<br> Execute system upgrades, migrations, and deployment activities with minimal business disruption.<br> Collaborate with project managers, architects, engineers, and support teams throughout the project lifecycle.<br> Conduct system health checks and deployment verification.<br> Support hardware and software integration activities.<br> Perform troubleshooting during deployment and coordinate issue resolution with Dell technical support when required.<br> Develop implementation documentation, deployment guides, and technical reports.<br> Deliver knowledge transfer and end-user or administrator training.<br> Ensure deployments follow Dell best practices and customer requirements.<br> Provide post-deployment support and transition projects to the support team.<br> Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.<br> Fluent Russian and English (spoken and written) is mandatory.<br> 3+ years of experience in deployment, implementation, or professional services.<br> Hands-on experience with Dell Technologies infrastructure solutions.<br> Experience deploying Dell PowerEdge Servers, Dell PowerStore, PowerMax, PowerScale, Unity XT, or other Dell storage solutions.<br> Experience with VMware vSphere or Microsoft Hyper-V virtualization platforms.<br> Knowledge of Windows Server and Linux operating systems.<br> Understanding of networking concepts including TCP/IP, VLANs, DNS, DHCP, and SAN technologies.<br> Experience with data migration and infrastructure deployment projects.<br> Strong troubleshooting and analytical skills.<br> Excellent customer-facing communication skills.<br> Preferred Qualifications Dell Technologies certifications (DCA, DCS, DCE, or equivalent).<br> Experience with VMware, Microsoft, or Red Hat technologies.<br> Knowledge of backup and disaster recovery solutions.<br> Experience with cloud platforms such as Microsoft Azure or AWS.<br> Familiarity with automation and scripting tools such as PowerShell, Bash, or Python.<br> ITIL Foundation certification is an advantage.<br> Soft Skills Strong customer service orientation.<br> Excellent communication and presentation skills.<br> Ability to manage multiple deployment projects simultaneously.<br> Strong organizational and documentation skills.<br> Ability to work independently and within international teams.<br> Willingness to travel if required.<br> Preferred Experience Enterprise infrastructure deployment.<br> Data center implementation and migration projects.<br> Dell Technologies Professional Services experience.<br> Multi-country or multinational customer deployments.<br> Experience working in a consulting or system integrator environment.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Pricing Manager is responsible for managing the B2C channel of the global aftersales team, driving customer-centric pricing strategies for Al-Futtaim's automotive brands. This role is pivotal in ensuring market-driven price positioning and profitable job offerings. The manager oversees the alignment of retail prices with brand target margins, and manages the revision process, understanding margin drivers, and continuously seeks improvement opportunities. Working in a fast-paced, matrix organization, the role requires collaboration with wider aftersales stakeholders to achieve business goals. The position involves designing pricing structures, preparing budgets, implementing pricing strategies, reporting on performance, managing teams, and assuring organizational standards are met.</p><p><br><strong>What You Will Do:</strong></p><br><ul><li><p>Support the Head of Pricing in preparing quarterly and annual budgets.</p></li><li><p>Design and implement fixed-price service offerings for key repair jobs, ensuring competitiveness and profitability.</p></li><li><p>Develop and optimize retail pricing structures across brands to improve SPVIO and overall gross margins.</p></li><li><p>Identify pricing improvement opportunities through data analysis, visualizations, and business cases.</p></li><li><p>Manage and continuously enhance the menu pricing solution, including validation and adoption of new jobs.</p></li><li><p>Drive new brand inclusion within menu pricing and support digitalization initiatives to unlock margin growth opportunities.</p></li><li><p>Develop value-based pricing strategies for Segment 2 and other target customer segments.</p></li><li><p>Support the development and governance of goodwill policies, including customer and business contribution ratios.</p></li><li><p>Utilize statistical analysis and data visualization techniques to improve business performance and decision-making.</p></li><li><p>Create, implement, and review labour pricing structures to maximize efficiency and profitability.</p></li><li><p>Collaborate with Tier 1 and Tier 2 stakeholders to minimize cannibalization while protecting gross margins.</p></li><li><p>Monitor revenue and margin performance, providing insights on variances against budgets and forecasts.</p></li><li><p>Track and report recommended work conversion rates and pricing effectiveness.</p></li><li><p>Ensure B2C pricing SOPs are current, compliant, and aligned with operational requirements.</p></li><li><p>Develop dashboards and reporting tools to provide actionable insights on retail pricing performance.</p></li><li><p>Lead and manage the B2C Aftersales Pricing team, ensuring delivery against agreed KPIs.</p></li><li><p>Oversee discount structures across all brands, including staff discount programs and retail price revisions.</p></li><li><p>Manage pricing governance, cost adjustments, process improvements, and timely pricing of new products across all channels.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Strong analytical and problem-solving skills.</p></li><li><p>Excellent communication skills, especially in translating technical knowledge for non-technical audiences.</p></li><li><p>Proven commercial mindset, understanding customer impact.</p></li><li><p>Advanced proficiency in MS Excel and PowerPoint.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong><br></p><ul><li><p>Bachelor's Degree in Business Administration, Economics, Mathematics, or Finance; MBA preferred.</p></li><li><p>Minimum 5 years of work experience in a multinational environment within the automotive sector, ideally with a distributor and OEM.</p></li><li><p>2+ years of hands-on experience using analytical tools (e.g., R, Python) for solving real-world problems, preferably with knowledge in pricing analytics.</p></li><li><p>Experience with Tableau or other data visualization tools such as Power BI, SAS, or SAP Business Objects.</p></li></ul><br><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Senior Security Engineer</strong> <strong>Role Overview</strong> <p>We are seeking an experienced <strong>Senior Security Engineer</strong> to strengthen and evolve enterprise security practices across application, infrastructure, and cloud environments within a highly regulated financial services environment.</p><br><br> <p>This role will be responsible for driving secure-by-design principles across the software development lifecycle, implementing DevSecOps best practices, conducting security assessments, and enhancing the organization's overall security posture. The successful candidate will work closely with Development, DevOps, Infrastructure, Architecture, and Product teams to ensure security controls are embedded throughout the technology landscape.</p><br><br> <p>The ideal candidate will possess deep technical expertise across application security, cloud security, penetration testing, threat modelling, and security architecture, combined with strong stakeholder management and communication skills.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Conduct web, mobile, and API penetration testing and vulnerability assessments. </li><li>Perform secure code reviews and identify application and infrastructure security weaknesses. </li><li>Manage and optimize security tooling including: <ul> <li>SAST </li><li>DAST </li><li>SCA </li><li>Infrastructure as Code (IaC) Security </li><li>Container Security Solutions </li></ul> </li><li>Drive DevSecOps initiatives and integrate security controls into CI/CD pipelines. </li><li>Perform threat modelling, security risk assessments, and architecture reviews. </li><li>Design and review secure solutions across cloud, container, Kubernetes, and enterprise platforms. </li><li>Lead vulnerability management activities, including remediation planning and tracking. </li><li>Support security incident investigations, root cause analysis, and remediation efforts. </li><li>Deliver security awareness sessions and secure coding training to engineering teams. </li><li>Collaborate with development, DevOps, infrastructure, and product teams to ensure secure implementation of solutions. </li><li>Support continuous improvement of security standards, processes, and governance frameworks. </li><li>Participate in security reviews and compliance initiatives across enterprise projects. </li></ul> <strong>Required Skills &amp; Qualifications</strong> <ul> <li>8–15 years of experience in Information Security, Cyber Security, or Security Engineering roles. </li><li>Strong hands-on expertise in: <ul> <li>Application Security </li><li>Infrastructure Security </li><li>Cloud Security </li><li>Security Architecture </li></ul> </li><li>Deep experience performing: <ul> <li>Web Application Penetration Testing </li><li>API Security Testing </li><li>Mobile Security Testing </li><li>Vulnerability Assessments </li></ul> </li><li>Strong understanding of: <ul> <li>OWASP Top 10 </li><li>OWASP API Security Top 10 </li><li>Secure Development Practices </li></ul> </li><li>Experience implementing and managing DevSecOps programmes. </li><li>Strong expertise with CI/CD security integration and security automation. </li><li>Experience conducting: <ul> <li>Threat Modelling </li><li>Risk Assessments </li><li>Security Architecture Reviews </li><li>Secure Design Assessments </li></ul> </li><li>Hands-on experience securing: <ul> <li>Kubernetes Environments </li><li>Docker Containers </li><li>Microservices Architectures </li><li>Cloud-Native Applications </li></ul> </li><li>Strong knowledge of: <ul> <li>AWS Security </li><li>Azure Security </li><li>Identity &amp; Access Management </li><li>Secrets Management </li><li>Network Security </li></ul> </li><li>Experience supporting security incident response and remediation activities. </li><li>Strong stakeholder management, presentation, and communication skills. </li><li>Experience with scripting and automation using: <ul> <li>Python </li><li>Bash </li><li>PowerShell </li></ul> </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Banking or Financial Services industry experience. </li><li>Strong understanding of PCI-DSS compliance requirements. </li><li>Experience working with governance and compliance frameworks including: <ul> <li>ISO 27001 </li><li>SOC 2 </li><li>NIST </li><li>CIS </li></ul> </li><li>Familiarity with GDPR and privacy regulations. </li><li>Experience establishing or supporting Security Champion programmes. </li><li>Exposure to Security Operations and Incident Response functions. </li><li>Relevant security certifications such as: <ul> <li>CISSP </li><li>CSSLP </li><li>OSCP </li><li>CEH </li><li>AWS Security Specialty </li><li>Azure Security Engineer Associate </li></ul> </li></ul> <strong>Halian Group</strong> <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>JOB PURPOSE</strong></p><br> <p>The CRM Manager will lead the end-to-end CRM strategy for Starbucks across automations and tactical campaigns. The CRM Manager will sit within the Integrated Marketing function, reporting to the Head of CRM.&nbsp;&nbsp;</p><br> <p>The CRM Manager will be responsible for the development and execution of the Starbucks CRM strategy, integration with Starbucks Rewards, optimization of marketing budgets, and fostering a high-performing team culture. This role is pivotal in driving customer engagement, retention, reactivation and lifetime value through strategic CRM initiatives, across lifecycle and tactical comms.&nbsp;</p><br> <p><strong>This role:</strong>&nbsp;</p><br> <ul> <li>Is responsible and accountable for the management, development and performance of Starbucks CRM Strategy.&nbsp;</li> </ul> <ul> <li>Is responsible for the management of the Starbucks CRM marketing budget to help deliver overall brand and business awareness, engagement and ROI targets.&nbsp;</li> </ul> <ul> <li>Works seamlessly with the Starbucks marketing team to ensure alignment with the wider Starbucks marketing &amp; loyalty strategy.&nbsp;&nbsp;</li> </ul> <ul> <li>Works seamlessly with the Performance team, Digital Marketing team and brand teams to deliver the business plans for brands.&nbsp;</li> </ul> <ul> <li>Works closely with the central Data team to continuously improve our visibility and use of customer data for Starbucks.&nbsp;</li> </ul> <p><strong>KEY RESPONSIBILITIES</strong></p><br> <p><strong>Strategy&nbsp;</strong>&nbsp;</p><br> <ul> <li>Develop and execute CRM strategies aligned with Starbucksâ business plans and customer experience goals.&nbsp;</li> </ul> <ul> <li>Manage CRM automations and promotions as key marketing channels to support brand growth and profitability.&nbsp;</li> </ul> <ul> <li>Collaborate with brand teams, performance managers, and digital marketing to align CRM efforts with business plans.&nbsp;&nbsp;</li> </ul> <p><strong>CRM Campaigns</strong>&nbsp;</p><br> <ul> <li>Own and optimize CRM management process from strategic concept to technical execution on CRM channels including but not limited to email, push and WhatsApp.&nbsp;</li> </ul> <ul> <li>Map &amp; own the customer journeys and buying cycles, creating automated lifecycle campaigns and workflows that support them from contact acquisition to retention.&nbsp;</li> </ul> <ul> <li>Lead on quality control and performance for all campaign creation and execution.&nbsp;&nbsp;</li> </ul> <ul> <li>Work with Starbucks team to create relevant, personalised and engaging customer experiences within CRM and across the whole customer journey to support the customer contact strategy, brand equity and commercial performance.&nbsp;</li> </ul> <ul> <li>Be a customer champion and ensure that the right messages are delivered to the right customers at the right time.&nbsp;</li> </ul> <ul> <li>Monitor CRM KPIs to identify and act on opportunity to improve performance and to meet and exceed targets.&nbsp;</li> </ul> <ul> <li>Give recommendations for the constant improve of CRM campaign content, targeting and delivery to improve the customer experience and increase campaign performance.&nbsp;</li> </ul> <ul> <li>Support the management and development of Bloomreach as the Alshaya Campaign Management Tool and Customer Data Platform partner.&nbsp;</li> </ul> <ul> <li>Continuously review all costs, campaign delivery to improve channel and performance and overall ROI.&nbsp;</li> </ul> <p><strong>Growth</strong>&nbsp;</p><br> <ul> <li>Drive continuous customer growth for Starbucks through the use of CRM for acquisition, retention and customer lifetime value.&nbsp;</li> </ul> <ul> <li>Make use of new CRM channels such as WhatsApp, to diversify opportunities for engaging with customers and deploying the CRM strategy.&nbsp;</li> </ul> <ul> <li>Embed a performance focus and test &amp; learn culture across the team to test, analyse, and iterate on new ideas and opportunities to drive continuous improvement across all KPIs including but not limited to reach, open rate, click through rate, conversion, AOV, app install, order frequency, customer lifetime value.&nbsp;</li> </ul> <ul> <li>Develop and make full use of our relationship with Bloomreach and other external teams, to help us develop our CRM strategy and delivery.&nbsp;</li> </ul> <p><strong>Data &amp; Reporting</strong>&nbsp;</p><br> <ul> <li>Provide an advanced, comprehensive reporting function across all channels, devices and customer segments to drive performance improvements within the team and to increase performance transparency outside of the team.&nbsp;</li> </ul> <ul> <li>Put in place clear KPIs and success measures for all existing and new CRM initiatives in order to effectively track, identify, measure, and roll out all opportunities and efficiencies.&nbsp;</li> </ul> <ul> <li>Produce detailed tactical analysis on an âas and when requiredâ basis.&nbsp;</li> </ul> <ul> <li>Surface and communicate innovative insights and actionable outputs on a regular basis.&nbsp;</li> </ul> <ul> <li>Collaborate with data and technical teams to ensure we have all relevant reports and dashboards to maximise CRM performance.&nbsp;</li> </ul> <p><strong>People</strong>&nbsp;</p><br> <ul> <li>Work seamlessly with brand teams in parallel with the Senior Performance Managers, and with all other members of the Integrated marketing team to deliver an Omni-Channel CRM plan.&nbsp;</li> </ul> <ul> <li>Work closely with other Alshaya departments to ensure that all marketing activity is delivered in line with set processes and procedures, and in accordance with regional strategies, goals and objectives.&nbsp;</li> </ul> <ul> <li>Work equally effectively under your own initiative or as a fully committed team player, engendering respect and support from other members of the global business.&nbsp;</li> </ul> <ul> <li>Maintain and develop relationships with all external partners to leverage strategic support, knowledge transfer and value add opportunities, ensuring that the Alshaya work ethic, brand values and mission are upheld at all times.&nbsp;</li> </ul> <ul> <li>Be fully customer focused, promoting the voice of the customer across all activities and creating a meaningful relationship the customer across all marketing touchpoints.&nbsp;</li> </ul> <ul> <li>Lead, build, inspire, manage and develop an effective, happy and motivated team.&nbsp;</li> </ul> <p><strong>Expertise</strong>&nbsp;</p><br> <ul> <li>Maintain an up to date, expert level of knowledge within your field of expertise and across your professional network and remain aware of key industry developments and innovations and their application to Alshaya.&nbsp;</li> </ul> <ul> <li>Be acutely aware of competitor activity and poised at all times to capitalize on opportunities and repel threats.&nbsp;&nbsp;</li> </ul> <ul> <li>Constantly look for new opportunities and regularly make suggestions as to how things can be improved.&nbsp;&nbsp;</li> </ul> <ul> <li>Create opportunities to showcase your expertise internally and externally, to raise the profile of yourself and the CRM Team and to elevate your peers.&nbsp;</li> </ul> <p><strong>EXPERIENCE / COMPETENCIES REQUIRED&nbsp;</strong></p><br> <p><strong>Key Skills&nbsp;</strong></p><br> <ul> <li>Strong understanding of how to use CRM and CDP marketing tools for segmentation and automaton, to increase customer retention.&nbsp;</li> </ul> <ul> <li>Coding knowledge and experience with several languages including HTML, CSS, Java, JavaScript.&nbsp;</li> </ul> <ul> <li>At least 5 years in eCommerce CRM marketing, working on retention marketing, digital CRM / loyalty programs, with database sizes of 1M+ members / leads / customer.&nbsp;</li> </ul> <ul> <li>At least 3 years managing eCommerce CRM teams with retention budget responsibilities.&nbsp;</li> </ul> <ul> <li>Experience of using specialist CRM and CDP platforms, tools and software packages eg. Exponea&nbsp;</li> </ul> <ul> <li>Thorough understanding of all data privacy related legislation (e.g. DSR, GDPR etc.)&nbsp;</li> </ul> <ul> <li>Expertise with enterprise web analytical and data tools (e.g. Google Analytics, Adjust, Firebase, Magento etc.)&nbsp;</li> </ul> <ul> <li>Analytical and numbers driven, able to make fact-based recommendations from complex data and turn insight into action.&nbsp;</li> </ul> <ul> <li>Excellent understanding of all digital KPIs controlling performance.&nbsp;</li> </ul> <ul> <li>Passion to learn and master new technologies and techniques.&nbsp;</li> </ul> <ul> <li>Strong commercial acumen and awareness of how to affect profit from any given activity.&nbsp;</li> </ul> <ul> <li>Ability to react to change and make smart, fast decisions.&nbsp;</li> </ul> <ul> <li>Ability to build relationships and to influence across teams and career levels.&nbsp;</li> </ul> <ul> <li>Exemplary communication skills, both written and spoken.&nbsp;</li> </ul> <ul> <li>Outstanding presentation skills and the ability to show complex issues in an engaging way.&nbsp;</li> </ul> <ul> <li>Confident self-starter and organised project manager with the ability to prioritize, multi-task and stay calm under pressure.&nbsp;</li> </ul> <ul> <li>Strong, motivational leader and team player.&nbsp;</li> </ul> <ul> <li>Customer first focus&nbsp;</li> </ul> <p><strong>Preferred Skills&nbsp;</strong></p><br> <ul> <li>Relevant degree or professional qualification.&nbsp;</li> </ul> <ul> <li>Fashion, home furnishing and beauty experience.&nbsp;</li> </ul> <ul> <li>Experience of MENA markets.&nbsp;</li> </ul> <ul> <li>Fluent with spoken and written Arabic.&nbsp;</li> </ul> <ul> <li>Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.&nbsp;</li> </ul> <ul> <li>Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.&nbsp;</li> </ul> <ul> <li>Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.&nbsp;</li> </ul> <ul> <li>Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.&nbsp;</li> </ul> </div>

Job Code: JPC - 6104<br><br>Job Title: AI & Digital Experience Analyst<br><br>Job Location: Abu Dhabi<br><br>Contract: 12 Months<br><br>Job Summary<br><br>The AI & Digital Experience Analyst serves as the execution and innovation engine for the Technology Operations division. Reporting directly to the Associate Director of Technology Operations, this role focuses on translating high-level AI architectures into functional prototypes, driving enterprise-wide AI adoption, including Microsoft Copilot, and measuring the operational impact of the Technology Operations division.<br><br>The role acts as the in-house Copilot Expert, responsible for enabling and coaching end users to build their own agents in Microsoft Copilot Studio, including advanced, multi-step agents that connect to enterprise data and automate business workflows.<br><br>The Analyst bridges the gap between technical AI development and end-user experience, ensuring that Technology Services is positioned as a proactive, value-driving partner to the business.<br><br>Core Accountabilities<br><br>AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by Tech Ops leadership into testable, functional models. Copilot Studio Expertise: Serve as the subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents, from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration. Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive adoption of digital workplace tools, specifically spearheading Microsoft Copilot training initiatives. Strategic Impact Reporting: Design and maintain executive dashboards and Impact Stories that translate complex Tech Ops achievements, such as automated ticket deflection, infrastructure cost savings, and system uptime, into clear business-facing metrics. <br><br>Operational Responsibilities<br><br>Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration. Model Training & Testing: Ingest, format, and structure internal data, including policies and IT documentation, for AI knowledge bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment. Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement. Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before full implementation approval. Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with organizational standards. Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution. <br><br>Job Qualifications & Experience<br><br>5 10 years of overall experience. Bachelor s degree in Artificial Intelligence, Computer Science, Information Technology, or a related technical field. Strong foundational understanding of Large Language Models (LLMs), prompt engineering, and AI toolsets. Hands-on familiarity with Microsoft Copilot and Microsoft Copilot Studio, including building and configuring agents, topics, actions, and connectors. Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical business users. Basic scripting capability, such as Python or Power Shell, for data formatting and API interactions. High capacity for independent problem-solving and rapid prototyping. Keep up to date with the latest AI tools and model releases and identify opportunities to leverage them internally. High-agility, cloud-first infrastructure requiring rapid adaptation to new AI frameworks and continuous learning.<br><br>Skills: data analysis, AI/ML Basics, Customer Experience (CX) / User Experience (UX), Digital Analytics tools

Job Description<br><br>About the Role<br><br>As Etihad continues to transform its commercial capabilities through Journey 2030, we’re looking for an experienced Revenue Management professional to help shape the next generation of inventory optimisation and commercial decision-making.<br><br>Joining our Solutions & Innovation team, you’ll sit at the intersection of Revenue Management, Technology and Data, leading initiatives that improve how inventory is forecast, optimised and managed across our global network.<br><br>This isn’t a traditional Revenue Management role. You’ll combine commercial expertise with technology, advanced analytics and product thinking to design smarter solutions, automate complex processes and deliver measurable commercial value. Working alongside Digital, Technology and Commercial stakeholders, you’ll help define how our Revenue Management systems evolve to support one of the world’s fastest-growing airlines.<br><br>If you’re passionate about solving complex commercial problems, improving systems and driving innovation, we’d love to hear from you.<br><br>What you’ll be doing<br><br>Lead the development and delivery of innovative Revenue Management solutions focused on inventory optimisation and availability management. Identify opportunities to improve commercial systems, business processes and decision frameworks through automation, advanced analytics and emerging technologies. Design and deliver proof-of-concept initiatives before scaling successful solutions into production. Act as the business owner for inventory-related Revenue Management systems, ensuring they continue to evolve in line with commercial priorities. Partner with Revenue Management, Commercial, Digital and Technology teams to define business requirements and influence future product roadmaps. Oversee system enhancements, upgrades, testing and production releases while ensuring minimal business disruption. Monitor inventory optimisation performance, user behaviour and forecasting outcomes, providing recommendations that improve commercial performance. Manage calibration of forecasting models, optimisation parameters and inventory controls to maximise revenue opportunities. Ensure high standards of system data quality, governance and usability across Revenue Management platforms. Translate complex analytical outputs into practical commercial recommendations for business stakeholders. <br><br>Qualifications<br><br>What we’re looking for<br><br>We’re looking for someone who combines strong airline Revenue Management expertise with a genuine passion for improving systems, solving business problems and delivering innovation.<br><br>You’ll be comfortable working across commercial and technical teams, influencing stakeholders and turning complex business requirements into scalable solutions.<br><br>Essential<br><br>Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research, Economics or a related discipline (MBA advantageous). Minimum 5 years relevant experience within the airline industry. Hands-on experience with inventory optimization and availability management. Experience using Revenue Management platforms such as Amadeus, Sabre or PROS. Strong understanding of demand forecasting, optimization and commercial airline operations. Excellent stakeholder management and communication skills. Demonstrated experience delivering projects while balancing operational priorities. Desirable<br><br>Experience with Python, R, Tableau, Databricks or similar analytical tools. Exposure to cloud technologies including Azure, AWS or GCP. Experience delivering automation, analytics or AI-enabled commercial solutions. Product ownership or systems implementation experience within an airline environment. <br><br>Additional Information<br><br>Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.<br><br>To learn more visit www.etihad.com<br><br>Recruitment Fraud Alert<br><br>Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries.<br>In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream <br><br>Requirements<br><br> 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them <br><br>Benefits<br><br> A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

We are looking for a highly skilled Senior Dev Ops Engineer to join our Technology Engineering team and support enterprise-scale platform engineering initiatives within a highly regulated environment.<br><br>The ideal candidate should have strong expertise in CI/CD automation, Infrastructure as Code (IaC), container platforms, Kubernetes/Open Shift, Dev Ops tooling, and production support. This role requires hands-on engineering experience in designing, implementing, and managing modern Dev Ops platforms while collaborating closely with development, infrastructure, security, and platform engineering teams.<br><br>You will play a key role in building and maintaining scalable deployment pipelines, automating infrastructure provisioning, improving platform reliability, and driving engineering excellence across enterprise applications.<br><br>Requirements<br><br>Key Responsibilities<br><br>Design, develop, implement, and maintain enterprise-grade CI/CD pipelines for microservices and cloud-native applications Build and manage automated deployment pipelines using Jenkins, Git Hub Actions, Argo CD, and Helm Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and automation frameworks Automate application deployment, infrastructure provisioning, configuration management, and operational workflows Manage containerized applications using Docker, Kubernetes, Open Shift, and Podman Support platform onboarding by enabling application teams through automation and self-service capabilities Collaborate with Development, Infrastructure, Security, Platform Engineering, and Product teams to deliver scalable platform solutions Integrate Dev Sec Ops tools into CI/CD pipelines, ensuring security, compliance, and governance throughout the software delivery lifecycle Implement automated security scans, regulatory checks, vulnerability management, and patch automation Develop automation scripts using Groovy, Python, and Shell scripting Troubleshoot complex production issues, perform root cause analysis, and provide operational support within a Dev Ops/SRE environment Monitor platform health, system performance, and application reliability using enterprise monitoring solutions Implement logging, monitoring, alerting, and observability solutions across enterprise platforms Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives Contribute to engineering best practices, platform standardization, automation strategies, and continuous improvement initiatives Work within production support rotations and ensure high availability of critical enterprise platforms<br><br>Required Technical Skills<br><br>Dev Ops & CI/CD<br><br>Strong hands-on experience with CI/CD pipeline development and automation Jenkins Git Hub Actions Argo CDHelm Git Ops methodology Shared Libraries Pipeline as Code<br><br>Container & Platform Technologies<br><br>Docker Kubernetes Open Shift Podman Container orchestration Microservices architecture<br><br>Infrastructure as Code (IaC)<br><br>Terraform Ansible Infrastructure automation Configuration management<br><br>Scripting & Programming<br><br>Python Groovy Linux Shell Scripting (Bash) API integration and automation<br><br>Source Control<br><br>Git Git Hub<br><br>Dev Sec Ops & Security<br><br>Experience integrating security tools into CI/CD pipelines, including:<br><br>Sonar Qube Checkmarx Sysdig Nexus Repository Nexus IQCosign Automated security validation Compliance automation Vulnerability scanning<br><br>Monitoring & Observability<br><br>ELK Stack Prometheus Grafana Logging Monitoring Alerting Performance analysis<br><br>Operating Systems<br><br>Linux Windows Shell scripting System administration<br><br>Cloud Platforms<br><br>Hands-on experience with one or more public cloud providers:<br><br>Microsoft Azure AWSOracle Cloud Infrastructure (OCI)<br><br>Experience with:<br><br>Compute Storage Networking Cloud platform services<br><br>Required Technical Knowledge<br><br>Dev Ops methodologies Site Reliability Engineering (SRE) Infrastructure as Code (IaC) Twelve-Factor Application principles CI/CD best practices Cloud-native application architecture Microservices deployment REST API integrations Production support Incident management Root cause analysis High-availability platform engineering<br><br>Networking & Security<br><br>Good understanding of:<br><br>Network fundamentals Security engineering principles Authentication & Authorization Secure software delivery Infrastructure security Enterprise compliance standards<br><br>Required Competencies<br><br>Strong troubleshooting and analytical skills Excellent communication and stakeholder management Ability to collaborate effectively with cross-functional engineering teams Strong ownership mindset with focus on automation and operational excellence Ability to work in Agile, Dev Ops, and product-oriented delivery environments Self-starter with strong initiative and problem-solving ability Calm under pressure with excellent incident management skills Passion for continuous learning and adopting modern technologies<br><br>Preferred Experience<br><br>Banking Financial Services Fin Tech Other highly regulated enterprise environments<br><br>Experience supporting:<br><br>Large-scale enterprise platforms High-availability systems Mission-critical applications Distributed environments Global engineering organizations<br><br>Nice to Have<br><br>Experience with Machine Learning (ML) or AI platform deployments Exposure to MLOps practices Experience building AI/ML deployment pipelines Public cloud certifications Kubernetes/Open Shift certifications Dev Ops or Cloud certifications

Bayut & dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience. As part of EMPG, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 10 brands, we have more than 200 million monthly users that trust in our dedication to providing them with the best platform for their needs. At dubizzle you'd be part of high performing cross-functional "Squads" set with a mission to provide win-win exchanges for our beloved users. As a Senior Software Engineer (Backend) you will liaises with the other backend and frontend engineers within your product stream, the QA team, the design team and your Tech Team Leads. As a senior member of the team, you will be responsible for advancing our development stack and ensuring scale as we grow to millions of monthly active users across many countries.<br>In this role, you will: Hit the ground running - Gather up-to-date and in-depth understanding of the dubizzle code base and technologies stack within weeks; Lead planning sessions around new product features, deliver detailed roll-out/roll-back strategies for releases Research and apply industry trends as part of your daily work; Create unit tests in accordance with our established standards to cover assigned work; Write and maintain exemplary code following dubizzle's programming practices; Actively contribute in post-release maintenance issues; Develop elegant solutions for complex problems; Pioneer reliability and efficiency of our current code base, platforms and/or core systems; Impact on the direction and scope of dubizzle's technical vision within your stream; Work in a mentoring capacity within a peer-programming environment and provide guidance on tasks, irrespective of complexity or scale; Code review all major pull requests, defining programming standards and providing constructive feedback Design and delivery of multiple REST based APIs and previous exposure to Service Oriented Architecture; Capacity to push back requirements when incomplete; Handle the entire software development life cycle, end to end; Lead product planning meetings and architect solutions within your stream; Liaises with the other back end engineers within your product stream, the QA team, design team and your Tech Team Lead; Liaise with other tech teams to share innovations from your stream <br><br>Requirements<br><br> 8+ years of professional back-end software engineering experience in either Python or Java or C++ Experience with Cloud hosted infrastructure and Technologies; AWS preferred; Prior experience with Kubernetes & Docker will earn you brownie points; Experience working on high-traffic and large-scale web products is preferred; Experience with web infrastructure, SOA, distributed systems, performance analysis, search infrastructure; Been on at least one "death march" and know exactly why some things are to be avoided; Strong understanding of design patterns including asynchronous programming, queuing, logging, security and persistence; Mastery of different caching layers and strategies including memcached; Good understanding of build process management and continuous integration; Mastery of testing methodologies (unit tests, component tests, integration tests, etc.); Excellent communication & interpersonal skills; This is an absolute must, we have heated debates around complicated subjects and you will be expected to lead conversations around them <br><br>Benefits<br><br> A fast paced, high performing team Multicultural environment with over 50 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards & Recognitions Learning & Development #dubizzle

Role Description We are seeking an experienced and results-oriented Test Manager / Senior Test Automation Analyst to lead quality assurance initiatives, define testing strategies, and drive test automation excellence across software development projects. This role is responsible for managing end-to-end testing activities, developing automation frameworks, ensuring software quality, and collaborating with cross-functional teams to deliver reliable, secure, and high-performing applications. The ideal candidate is a strong leader with extensive experience in software testing, automation, Agile delivery, and continuous quality improvement. Key responsibilities include:Develop and implement comprehensive test strategies, test plans, and quality assurance frameworks aligned with business and technical requirements. Lead functional, integration, system, regression, performance, API, security, and user acceptance testing activities. Design, develop, maintain, and optimize automated test frameworks and reusable test scripts. Manage testing schedules, resource allocation, project priorities, and quality deliverables across multiple initiatives. Collaborate with developers, business analysts, product managers, Dev Ops engineers, and project stakeholders throughout the Software Development Life Cycle (SDLC). Review business requirements, technical specifications, and user stories to ensure complete test coverage. Monitor testing progress, defect trends, automation coverage, and quality metrics using key performance indicators (KPIs). Manage defect lifecycle activities, including defect reporting, prioritization, tracking, verification, and resolution. Support CI/CD pipelines by integrating automated testing into deployment and release processes. Conduct code reviews for automation scripts and promote testing standards, best practices, and continuous improvement. Mentor and coach QA engineers and automation testers while fostering a culture of quality and collaboration. Prepare quality reports, test summaries, release readiness assessments, and executive presentations. Identify testing risks, recommend mitigation strategies, and support continuous process improvement initiatives. Ensure compliance with organizational quality standards, security requirements, regulatory guidelines, and software engineering best practices. Evaluate emerging test automation technologies, AI-powered testing tools, and quality engineering methodologies. Drive continuous improvement initiatives that enhance testing efficiency, automation maturity, software reliability, and customer satisfaction. Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, or a related field. Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), Agile methodologies, and quality assurance principles. Extensive knowledge of manual testing, test automation, API testing, performance testing, regression testing, integration testing, and system testing. Proficiency with automation tools such as Selenium, Playwright, Cypress, Appium, Robot Framework, or similar technologies. Experience with programming or scripting languages such as Java, Python, Java Script, C#, or Type Script for automation development. Familiarity with API testing tools such as Postman, REST Assured, or Soap UI. Knowledge of test management and defect tracking tools such as Jira, Azure Dev Ops, Test Rail, Zephyr, HP ALM, or similar platforms. Understanding of CI/CD pipelines and Dev Ops tools such as Jenkins, Git Hub Actions, Git Lab CI/CD, Bamboo, or Azure Dev Ops. Familiarity with SQL, relational databases, and data validation techniques. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage. Strong analytical, troubleshooting, and problem-solving skills. Excellent written, verbal, presentation, leadership, and stakeholder management abilities. Strong organizational and project management skills with the ability to manage multiple testing initiatives simultaneously. High attention to detail with a commitment to delivering secure, reliable, and high-quality software. Ability to work independently while collaborating effectively with cross-functional and Agile teams. Professional attitude with integrity, accountability, and a continuous improvement mindset dedicated to delivering high-quality software solutions and advancing quality engineering excellence.

Who We Are<br><br>Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br><br>To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.<br><br>We Are BCG X<br><br>We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.<br><br>What You'll Do<br><br>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.<br><br>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.<br><br>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.<br><br>We Are Looking For Talented Individuals With a Passion For Data Science, Statistics, Operations Research And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following<br><br>Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or Dev Ops experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills <br><br>What You'll Bring<br><br>Technologies<br><br>Programming Languages: Python<br><br>#BCGXjob<br><br>Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.<br><br>BCG is an E - Verify Employer. Click here for more information on E-Verify.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> What you´ll do <ul> <li>Lead and execute sourcing projects across regional categories and countries, ensuring alignment with business priorities and stakeholder requirements.</li> <li>Drive the consistent adoption of digital sourcing tools, processes, and automation solutions to enhance efficiency and spend visibility.</li> <li>Ensure full compliance, documentation, traceability, and governance for all sourcing activities and sourcing events.</li> <li>Collaborate closely with regional category teams and suppliers to leverage category expertise, resolve challenges, and support sourcing strategies.</li> <li>Manage and support regional non-sourcing initiatives, including sustainability programs, corporate projects, and strategic procurement topics.</li> <li>&nbsp;Contribute to financial and business objectives by advancing digitalization, spend management, sourcing automation, and procurement excellence.</li> <li>&nbsp;Champion sustainability, diversity, equity, and inclusion by integrating responsible sourcing practices and actively supporting Henkel’s culture of inclusion and belonging.</li> </ul> <br><br> What makes you a good fit <ul> <li>&nbsp;Bachelor’s degree in Business Administration, Supply Chain, Procurement, Engineering, Finance, or a related field.</li> <li>3–4 years of relevant experience in Procurement, Strategic Sourcing, Supply Chain, or a related business function.</li> <li>Strong business acumen with a solid understanding of procurement processes, supplier management, and sourcing methodologies.</li> <li>Excellent communication and stakeholder management skills, with the ability to collaborate effectively across functions, regions, and organizational levels.</li> <li>Strong analytical, problem-solving, and project management skills, with the ability to manage multiple priorities in a fast-paced environment.</li> <li>Knowledge of contract management, cost management, risk management, and supplier relationship management principles.</li> <li>Digital mindset with proficiency in data analysis, procurement technologies, and automation tools; knowledge of SQL and Python is considered an advantage.</li> <li>&nbsp;Fluent in English; Arabic language skills are a strong plus.</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>We are looking for a Senior Platform Engineer to join the QSphere engineering team at Quantum Gate and build the engineering platform that powers the entire software development lifecycle (SDLC).<br><br>You will design, build, and operate the cloud platform that enables development teams to develop, test, deploy, and operate software securely and reliably. From infrastructure as code and Kubernetes to CI/CD, Git Ops, observability, and security, you will help create a modern, scalable platform that allows engineers to ship software faster while maintaining high standards for reliability, security, and operational excellence.<br><br>This role combines Platform Engineering, Cloud Infrastructure, and Dev Ops practices, treating the engineering platform as a product with a strong focus on automation, self-service, and developer experience.<br><br>Key Responsibilities<br><br>Build and Operate the Engineering Platform<br><br>Design, implement, and maintain the cloud infrastructure supporting development, testing, staging, and production environments. Build and evolve Kubernetes-based platforms for scalable application deployment. Define and maintain Infrastructure as Code using Terraform (or equivalent IaC technologies). Continuously improve platform scalability, resilience, availability, and operational efficiency.<br><br>Enable Modern Software Delivery<br><br>Design and maintain CI/CD pipelines supporting automated build, testing, security validation, and deployment. Implement Git Ops-based deployment workflows using tools such as Argo CD. Support progressive deployment strategies including blue/green, canary, and automated rollback. Improve software delivery through automation and standardized engineering workflows.<br><br>Drive Reliability and Observability<br><br>Implement and maintain monitoring, logging, alerting, and tracing across the platform. Define operational standards, service reliability objectives, and performance metrics. Participate in troubleshooting, incident response, and root cause analysis to continuously improve platform reliability.<br><br>Build Security into the Platform<br><br>Implement platform security best practices across infrastructure and deployment pipelines. Manage identity, authentication, authorization, secrets, and access management. Integrate security controls into the SDLC through automated policy enforcement, vulnerability scanning, and infrastructure hardening.<br><br>Collaborate Across Engineering<br><br>Work closely with software engineers, architects, QA, and cloud specialists to improve engineering productivity. Provide internal tooling and self-service capabilities that simplify application deployment and operations. Support architecture discussions to ensure platform capabilities align with product and application requirements. Contribute to continuous improvement of engineering practices across the organization.<br><br>Requirements<br><br>Strong experience designing and operating cloud-native infrastructure on AWS, Azure, or Google Cloud Platform. Hands-on experience with Kubernetes and container technologies such as Docker. Experience building and maintaining production CI/CD pipelines using tools such as Git Lab CI, Git Hub Actions, Jenkins, Tekton, or similar. Experience with Infrastructure as Code using Terraform, Cloud Formation, or equivalent. Strong scripting skills using Python, Bash, or similar languages. Experience with Git and modern software development workflows. Knowledge of monitoring and observability platforms such as Prometheus, Grafana, ELK, or similar. Strong understanding of infrastructure, networking, storage, and cloud architecture. Experience implementing infrastructure and platform security best practices. Excellent problem-solving, collaboration, and communication skills. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.<br><br>Nice to Have<br><br>Git Ops technologies such as Argo CD. Helm, Tekton, or similar platform tooling. Identity and Access Management technologies including Keycloak, OAuth2/OIDC, or SAML. Configuration management tools such as Ansible. Service Mesh technologies and API gateways. Experience operating highly available distributed systems. Knowledge of confidential computing, secure boot, platform integrity, or attestation technologies. Familiarity with Domain-Driven Design (DDD).<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>We are looking for a Senior Platform Engineer to join the QSphere engineering team at Quantum Gate and build the engineering platform that powers the entire software development lifecycle (SDLC).<br><br>You will design, build, and operate the cloud platform that enables development teams to develop, test, deploy, and operate software securely and reliably. From infrastructure as code and Kubernetes to CI/CD, Git Ops, observability, and security, you will help create a modern, scalable platform that allows engineers to ship software faster while maintaining high standards for reliability, security, and operational excellence.<br><br>This role combines Platform Engineering, Cloud Infrastructure, and Dev Ops practices, treating the engineering platform as a product with a strong focus on automation, self-service, and developer experience.<br><br>Key Responsibilities<br><br>Build and Operate the Engineering Platform<br><br>Design, implement, and maintain the cloud infrastructure supporting development, testing, staging, and production environments. Build and evolve Kubernetes-based platforms for scalable application deployment. Define and maintain Infrastructure as Code using Terraform (or equivalent IaC technologies). Continuously improve platform scalability, resilience, availability, and operational efficiency.<br><br>Enable Modern Software Delivery<br><br>Design and maintain CI/CD pipelines supporting automated build, testing, security validation, and deployment. Implement Git Ops-based deployment workflows using tools such as Argo CD. Support progressive deployment strategies including blue/green, canary, and automated rollback. Improve software delivery through automation and standardized engineering workflows.<br><br>Drive Reliability and Observability<br><br>Implement and maintain monitoring, logging, alerting, and tracing across the platform. Define operational standards, service reliability objectives, and performance metrics. Participate in troubleshooting, incident response, and root cause analysis to continuously improve platform reliability.<br><br>Build Security into the Platform<br><br>Implement platform security best practices across infrastructure and deployment pipelines. Manage identity, authentication, authorization, secrets, and access management. Integrate security controls into the SDLC through automated policy enforcement, vulnerability scanning, and infrastructure hardening.<br><br>Collaborate Across Engineering<br><br>Work closely with software engineers, architects, QA, and cloud specialists to improve engineering productivity. Provide internal tooling and self-service capabilities that simplify application deployment and operations. Support architecture discussions to ensure platform capabilities align with product and application requirements. Contribute to continuous improvement of engineering practices across the organization.<br><br>Requirements<br><br>Strong experience designing and operating cloud-native infrastructure on AWS, Azure, or Google Cloud Platform. Hands-on experience with Kubernetes and container technologies such as Docker. Experience building and maintaining production CI/CD pipelines using tools such as Git Lab CI, Git Hub Actions, Jenkins, Tekton, or similar. Experience with Infrastructure as Code using Terraform, Cloud Formation, or equivalent. Strong scripting skills using Python, Bash, or similar languages. Experience with Git and modern software development workflows. Knowledge of monitoring and observability platforms such as Prometheus, Grafana, ELK, or similar. Strong understanding of infrastructure, networking, storage, and cloud architecture. Experience implementing infrastructure and platform security best practices. Excellent problem-solving, collaboration, and communication skills. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.<br><br>Nice to Have<br><br>Git Ops technologies such as Argo CD. Helm, Tekton, or similar platform tooling. Identity and Access Management technologies including Keycloak, OAuth2/OIDC, or SAML. Configuration management tools such as Ansible. Service Mesh technologies and API gateways. Experience operating highly available distributed systems. Knowledge of confidential computing, secure boot, platform integrity, or attestation technologies. Familiarity with Domain-Driven Design (DDD).<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

About Us<br><br>Dyson's Software Test & Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br>About The Role<br><br>Own and define the quality and verification strategy across embedded software, app, IoT, and cloud platforms. Build and develop high-performing Test & QA teams, coach Test&QA Leads and Managers. Provide technical direction for system, integration, protocol, connectivity, security, and compliance testing. And Test architecture, automation test strategy for complex multi-platform systems. Drive innovation in HIL automation, simulation, data-driven testing, and AI-enabled test methods. Represent Test & QA in program governance, influencing release decisions with strong quality evidence. Oversee quality metrics, dashboards, and analytics for defect trends, maturity, and reliability insights. Ensure compliance with industry standards: security, RF, Matter, safety, Market regulations. Stay updated on the latest automation testing strategies, techniques, tools, and frameworks. Collaborate with project managers, design managers and architects to test plan & strategy and budget. Report projects test progress & software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br>About you<br><br>Master’s degree in Computer Engineering, Electronics, Software Engineering, or similar.15+ years in software/embedded/IoT/app/cloud testing, including 7+ years Test & QA teams Manager. Proven experience managing electronic hardware and software quality for large-scale, multi-platform consumer products. Strong technical depth in automation (Python/C/Kotlin/Swift), CI/CD pipelines, protocol testing (BLE/Wi-Fi/MQTT), embedded testing, API testing, and mobile test frameworks. Skilled in using test tools such as protocol analyzers, device sniffers, Simulators, mobile app and cloud test utilities. Data-driven mindset with experience in dashboards, observability, and quality analytics. Passionate about quality, continuous improvement, and raising engineering standards. Excellent leadership and cross-functional influencing skills. Ability to mentor teams, uplift competencies, and build a high-performance engineering culture. Strong systems thinking across embedded, electrical, mechanical, cloud, and app ecosystems. Experience with the full electronic hardware and software development and test lifecycle and Agile development & test processes. Ability to shape long-term testing capability and lead transformation in automation and test methods. Expertise in automated testing, requirements analysis, test framework design, development, and debugging for both embedded software and IoT systems. Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders. Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br>Benefits<br><br>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Role Summary<br><br>AI71 is seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models for the EDGE Group. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems—from architectural design and data preprocessing to model training, optimization, and production deployment.<br><br>You will work at the intersection of generative AI and traditional machine learning, building the engines that power two flagship initiatives: Lever EDGE (automated requirements engineering via LLMs) and Intelligent Supply Chain (predictive risk scoring and demand forecasting). Operating within a structured "Sprint Zero" to "Stage Gate" delivery model, you will ensure our models are not just accurate, but also robust, explainable, and deployable within strict defense-grade security environments.<br><br>Key Responsibilities<br><br> LLM & NLP Pipelines (Lever EDGE) Regulation Parsing: Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g., military standards, building codes) and extract structured rules. Rule Formalization: Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines. Semantic Search: Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data. Prompt Engineering: optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive & Analytical Models (Supply Chain) Forecasting Engines: Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals. Risk Scoring: Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors. Optimization Algorithms: Design algorithms for multi-objective optimization (e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps & Productionization Model Deployment: Containerize models using Docker/Kubernetes and deploy them into secure, on-premise inference environments. Pipeline Orchestration: Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability. Performance Optimization: Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware. Monitoring & retraining: Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement.<br><br>Technical Requirements<br><br>Core ML/AI: Expert proficiency in Python and standard ML libraries (PyTorch, Tensor Flow, Scikit-learn, Pandas, Num Py). NLP & Gen AI: Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, Lang Chain). MLOps: Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow). Data Handling: Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data. Algorithm Design: Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations.<br><br>Professional Qualifications<br><br>Experience: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments. Domain Adaptability: Ability to quickly learn and apply ML techniques to specialized domains like defense engineering, supply chain, or construction. Structured Delivery: Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements. Collaboration: Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.<br><br>Why This Role?<br><br>You will be building the intelligence that drives critical national infrastructure. Your models will not just generate text or predictions; they will directly influence the design of defense systems and the resilience of supply chains. If you are ready to apply advanced ML to tangible, high-stakes problems in a rigorous engineering environment, join AI71.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.<br><br>We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.<br><br>But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.<br><br>We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.<br><br>Responsibilities<br><br>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup) Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br><br>Requirements<br><br>Minimum 3 years of engineering experience Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (Tensor Flow, PyTorch, etc.) Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production Solid understanding of cloud technologies, containerisation and building scalable AI applications Ability to integrate AI/ML models into real-world applications, focusing on usability and performance Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment Experience working with large datasets, particularly in relation to demand and supply forecasting<br><br>Bonus<br><br>Experience or strong interest in energy markets and trading strategies Understanding of weather forecasting, energy demand patterns, and production modelling Exposure to Natural Language Processing (NLP) or other related fields<br><br>Benefits<br><br>Competitive salary and an equity sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs Paid annual leave Breakfast and dinner allowance for office based employees